Omnidirectional Stereo Dataset. The omnidirectional stereo dataset [1]} consists of 7964 stereo pairs of panorama RGBD images rendered from two real-world datasets, Matterport3D [2]} and Stanford2D3D [3]}. We use the train-test split that removes 3 complete buildings from Matterport3D [2]} and 1 complete area from Stanford2D3D [3]} for test. Each set of data consists of left-down, right, and up view 360 RGBD images in a triangular fashion with size \(256\times 512\) . We only use images from the left-down view in our single view depth estimation experiments. Up-down stereo pairs are only used for the ablation study of the stereo matching network.
